Julian Zaidi

Research Scientist - Machine Learning For Speech Synthesis at Ubisoft Montréal

Montreal, Quebec, Canada
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Summary

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Senior
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Julian Zaidi is a research scientist specializing in machine learning for speech synthesis with nine years of experience bridging academic rigor and industrial R&D. Based in Montreal, he leads a small multidisciplinary team at Ubisoft La Forge developing deep learning text-to-speech systems and has a track record of moving prototype algorithms into production-grade research projects. His background in aerospace and mechanical engineering, plus hands-on experience in flight and fluid mechanics, gives him a unique quantitative perspective on modeling and signal processing challenges. Comfortable across Python, C++, MATLAB and PyTorch, he pairs strong mathematical foundations with practical engineering—having applied ML to biomechanics and prosthetics early in his career. Colleagues value him for combining leadership of mixed teams (R&D developers, researchers, post-grads) with a habit of shipping reproducible, experiment-driven results.
code9 years of coding experience
job6 years of employment as a software developer
bookMathematics, Physics and Chemistry, Mathematics, Physics and Chemistry at Advanced Undergraduate Coursework in Mathematics & Science - PCSI/PC*
bookMaster of Science (M.S.), Mechanical Engineering, Master of Science (M.S.), Mechanical Engineering at Université de Montréal - École Polytechnique de Montréal
bookEngineering degree, Aerospace, Aeronautical and Astronautical Engineering, Engineering degree, Aerospace, Aeronautical and Astronautical Engineering at ISAE-SUPAERO
languagesFrench, English, Spanish
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Github Skills (15)

speech-synthesis8
text-to-speech8
speech8
sequence-modeling5
pytorch4
python4
command-line-utility4
deep-learning3
artificial-intelligence3
machine-learning3
neural-network3
kaldi2
inference2
distributed-training1
vocoder1

Programming languages (5)

ShellJavaScriptJupyter NotebookPythonCuda

Github contributions (5)

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Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
Contributions:3 commits, 2 pushes, 15 comments in 7 months
speech-synthesistext-to-speech
Contributions:10 pushes, 1 branch in 3 days
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